基于极化散射特征的极化合成孔径雷达海冰分类方法研究:以渤海海冰分类为例

海冰监视监测的关键是提取海冰类型,准确提取海冰类型对于评估海冰冰情、保证航海及海洋作业安全具有重要的意义。利全极化合成孔径雷达影像(SAR)的优势,提取海冰的极化散射特征;在此基础上结合二叉树分类思想,开展极化SAR海冰类型的分类算法研究,提高SAR海冰分类精度;与传统的海冰分类方法相比较,验证了本方法的有效性。

Polarimetric scattering characteristics based sea ice types classification by polarimetric synthetic aperture radar:taking sea ice in the Bohai Sea for example

The key of monitoring and detection sea ice is extracting the sea ice types. Extracting sea ice types exactly has important significance for evaluating sea ice condition and ensuring navigation and marine operation safety. In this paper,the polarimetric scattering characteristics of sea ice are extracted by using high-resolution and fully-polarimetric SAR imagery. By combining the binary-tree classification idea,a sea ice classification algorithm of high-resolution and fully-polarimetric SAR data is developed,enhancing the SAR classification accuracy of sea ice. Finally,we verify the reliability of this method by comparing with the traditional sea ice classification method.